A. O. Mathew, Srijit Chowdhury, Sanjivani Devpura, Anasuya K. Lingappa
{"title":"影响最后一英里食品配送无人机技术接受度的因素:UTAUT2模型的改编","authors":"A. O. Mathew, Srijit Chowdhury, Sanjivani Devpura, Anasuya K. Lingappa","doi":"10.1155/2023/7399080","DOIUrl":null,"url":null,"abstract":"As the food delivery sector grows in importance, new delivery modes to address service issues, such as costs, swift delivery, and environmental concerns, are being researched. However, research on drone-based food delivery services is still lacking, especially in the Indian context, which the current study aims to address. The study furthered the UTAUT2 model with additional perceived risk and price sensitivity constructs. Quantitative, cross-sectional data was collected nationwide using convenience sampling through online survey questionnaires. The 323 responses were analyzed using the partial least square-structural equation modeling method. The results identified effort expectancy, social influence, and hedonic motivation as significant predictors of attitude and behavioral intention. In an emerging economy with a vast consumer base, this study may offer a preliminary standpoint for understanding the consumer perspective on drone food deliveries. The findings of this study might be necessary for businesses that deal with food delivery logistics as a point of view to formulate successful strategies.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"1219 ","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors Influencing Technology Acceptance of Drones for Last-Mile Food Deliveries: An Adaptation of the UTAUT2 Model\",\"authors\":\"A. O. Mathew, Srijit Chowdhury, Sanjivani Devpura, Anasuya K. Lingappa\",\"doi\":\"10.1155/2023/7399080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the food delivery sector grows in importance, new delivery modes to address service issues, such as costs, swift delivery, and environmental concerns, are being researched. However, research on drone-based food delivery services is still lacking, especially in the Indian context, which the current study aims to address. The study furthered the UTAUT2 model with additional perceived risk and price sensitivity constructs. Quantitative, cross-sectional data was collected nationwide using convenience sampling through online survey questionnaires. The 323 responses were analyzed using the partial least square-structural equation modeling method. The results identified effort expectancy, social influence, and hedonic motivation as significant predictors of attitude and behavioral intention. In an emerging economy with a vast consumer base, this study may offer a preliminary standpoint for understanding the consumer perspective on drone food deliveries. The findings of this study might be necessary for businesses that deal with food delivery logistics as a point of view to formulate successful strategies.\",\"PeriodicalId\":36408,\"journal\":{\"name\":\"Human Behavior and Emerging Technologies\",\"volume\":\"1219 \",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2023-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Behavior and Emerging Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/7399080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Behavior and Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2023/7399080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
Factors Influencing Technology Acceptance of Drones for Last-Mile Food Deliveries: An Adaptation of the UTAUT2 Model
As the food delivery sector grows in importance, new delivery modes to address service issues, such as costs, swift delivery, and environmental concerns, are being researched. However, research on drone-based food delivery services is still lacking, especially in the Indian context, which the current study aims to address. The study furthered the UTAUT2 model with additional perceived risk and price sensitivity constructs. Quantitative, cross-sectional data was collected nationwide using convenience sampling through online survey questionnaires. The 323 responses were analyzed using the partial least square-structural equation modeling method. The results identified effort expectancy, social influence, and hedonic motivation as significant predictors of attitude and behavioral intention. In an emerging economy with a vast consumer base, this study may offer a preliminary standpoint for understanding the consumer perspective on drone food deliveries. The findings of this study might be necessary for businesses that deal with food delivery logistics as a point of view to formulate successful strategies.
期刊介绍:
Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.